diff --git a/.github/workflows/build-wheels-m1.yml b/.github/workflows/build-wheels-m1.yml
index 1dad6ad5ea..32819058c9 100644
--- a/.github/workflows/build-wheels-m1.yml
+++ b/.github/workflows/build-wheels-m1.yml
@@ -1,4 +1,5 @@
 # From https://github.com/pytorch/test-infra/wiki/Using-Nova-Reusable-Build-Workflows
+# kick build
 name: Build M1 Wheels
 
 on:
diff --git a/kernels/optimized/cpu/op_sigmoid.cpp b/kernels/optimized/cpu/op_sigmoid.cpp
deleted file mode 100644
index 751038cc8b..0000000000
--- a/kernels/optimized/cpu/op_sigmoid.cpp
+++ /dev/null
@@ -1,103 +0,0 @@
-/*
- * Copyright (c) Meta Platforms, Inc. and affiliates.
- * All rights reserved.
- *
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-
-#include <cmath>
-
-#include <executorch/kernels/optimized/vec/functional.h>
-#include <executorch/kernels/optimized/vec/vec.h>
-#include <executorch/runtime/kernel/kernel_includes.h>
-
-namespace torch {
-namespace executor {
-namespace native {
-
-namespace {
-
-template <typename T>
-constexpr bool is_half_or_bf16_v = std::is_same_v<T, exec_aten::Half> ||
-    std::is_same_v<T, exec_aten::BFloat16>;
-
-template <
-    typename CTYPE_IN,
-    typename CTYPE_OUT,
-    typename std::enable_if<
-        std::is_same_v<CTYPE_IN, CTYPE_OUT> && !is_half_or_bf16_v<CTYPE_IN> &&
-            !is_half_or_bf16_v<CTYPE_OUT>,
-        int>::type = 0>
-void sigmoid_data(
-    const CTYPE_IN* in_data,
-    const size_t numel,
-    CTYPE_OUT* out_data) {
-  using Vec = executorch::vec::Vectorized<CTYPE_IN>;
-  executorch::vec::map<CTYPE_IN>(
-      [](Vec x) {
-        auto one_plus_exp = x.neg().exp() + Vec(static_cast<CTYPE_IN>(1.0));
-        return one_plus_exp.reciprocal();
-      },
-      out_data,
-      in_data,
-      numel);
-}
-
-template <
-    typename CTYPE_IN,
-    typename CTYPE_OUT,
-    typename std::enable_if<
-        !std::is_same_v<CTYPE_IN, CTYPE_OUT> || is_half_or_bf16_v<CTYPE_IN> ||
-            is_half_or_bf16_v<CTYPE_OUT>,
-        int>::type = 0>
-void sigmoid_data(
-    const CTYPE_IN* in_data,
-    const size_t numel,
-    CTYPE_OUT* out_data) {
-  for (size_t i = 0; i < numel; i++) {
-    CTYPE_OUT xi = static_cast<CTYPE_OUT>(in_data[i]);
-    out_data[i] = (1.0f / (1.0f + std::exp(-xi)));
-  }
-}
-
-} // namespace
-
-using Tensor = exec_aten::Tensor;
-
-Tensor&
-opt_sigmoid_out(KernelRuntimeContext& ctx, const Tensor& in, Tensor& out) {
-  (void)ctx;
-
-  ET_KERNEL_CHECK(
-      ctx, in.scalar_type() != ScalarType::Bool, InvalidArgument, out);
-  ET_KERNEL_CHECK(ctx, tensor_is_floating_type(out), InvalidArgument, out);
-
-  ET_KERNEL_CHECK(
-      ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out);
-
-  // Resize for dynamic shape
-  ET_KERNEL_CHECK_MSG(
-      ctx,
-      resize_tensor(out, in.sizes()) == Error::Ok,
-      InvalidArgument,
-      out,
-      "Failed to resize output tensor.");
-
-  ScalarType in_type = in.scalar_type();
-  ScalarType out_type = out.scalar_type();
-  ET_SWITCH_REALHB_TYPES(in_type, ctx, "sigmoid.out", CTYPE_IN, [&]() {
-    ET_SWITCH_FLOATH_TYPES(out_type, ctx, "sigmoid.out", CTYPE_OUT, [&]() {
-      sigmoid_data<CTYPE_IN, CTYPE_OUT>(
-          in.const_data_ptr<CTYPE_IN>(),
-          in.numel(),
-          out.mutable_data_ptr<CTYPE_OUT>());
-    });
-  });
-
-  return out;
-}
-
-} // namespace native
-} // namespace executor
-} // namespace torch
diff --git a/kernels/optimized/cpu/targets.bzl b/kernels/optimized/cpu/targets.bzl
index 5e5f6dd7b9..77a270cc45 100644
--- a/kernels/optimized/cpu/targets.bzl
+++ b/kernels/optimized/cpu/targets.bzl
@@ -25,7 +25,6 @@ _OPTIMIZED_ATEN_OPS = (
         ],
     ),
     op_target(name = "op_exp"),
-    op_target(name = "op_sigmoid"),
     op_target(
         name = "op_gelu",
         deps = select({
diff --git a/kernels/optimized/optimized-oss.yaml b/kernels/optimized/optimized-oss.yaml
index 52262e2dd5..797744f3bd 100644
--- a/kernels/optimized/optimized-oss.yaml
+++ b/kernels/optimized/optimized-oss.yaml
@@ -35,11 +35,6 @@
     - arg_meta: null
       kernel_name: torch::executor::opt_exp_out
 
-- op: sigmoid.out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::opt_sigmoid_out
-
 - op: le.Scalar_out
   kernels:
     - arg_meta: null
diff --git a/kernels/optimized/optimized.yaml b/kernels/optimized/optimized.yaml
index ea07126a3b..2421673f8a 100644
--- a/kernels/optimized/optimized.yaml
+++ b/kernels/optimized/optimized.yaml
@@ -37,11 +37,6 @@
     - arg_meta: null
       kernel_name: torch::executor::opt_exp_out
 
-- op: sigmoid.out
-  kernels:
-    - arg_meta: null
-      kernel_name: torch::executor::opt_sigmoid_out
-
 - op: gelu.out
   kernels:
     - arg_meta: null
diff --git a/kernels/test/targets.bzl b/kernels/test/targets.bzl
index 77b18a4814..ce15a578ad 100644
--- a/kernels/test/targets.bzl
+++ b/kernels/test/targets.bzl
@@ -297,7 +297,7 @@ def define_common_targets():
     _common_op_test("op_scatter_add_test", ["aten", "portable"])
     _common_op_test("op_select_scatter_test", ["aten", "portable"])
     _common_op_test("op_select_copy_test", ["aten", "portable"])
-    _common_op_test("op_sigmoid_test", ["aten", "portable", "optimized"])
+    _common_op_test("op_sigmoid_test", ["aten", "portable"])
     _common_op_test("op_sign_test", ["aten", "portable"])
     _common_op_test("op_sin_test", ["aten", "portable"])
     _common_op_test("op_sinh_test", ["aten", "portable"])